We analyze the stability of the temperature profile of an array of computing nanodevices refrigerated by flowing superfluid helium, under variations of temperature, computing rate, and barycentric velocity of helium. It turns out that if the variation of dissipated energy per bit with respect to temperature variations is higher than some critical values, proportional to the effective thermal conductivity of the array, then the steady-state temperature profiles become unstable and refrigeration efficiency is lost. Furthermore, a restriction on the maximum rate of variation of the local computation rate is found.